Driving assist system
    1.
    发明授权

    公开(公告)号:US10380887B2

    公开(公告)日:2019-08-13

    申请号:US15646867

    申请日:2017-07-11

    Abstract: In a driving assist system, a driving evaluator compares a driving feature data item sampled at each predetermined sampling point and obtained from a target vehicle with historical driving data items for the corresponding sampling point. The driving evaluator obtains, based on a result of the comparison, an evaluation value of the driving feature data item for the target vehicle at each predetermined sampling point. An unusual driving determiner obtains a cumulative sum of selected values in the evaluation values of the driving feature data items for the target vehicle. The unusual driving determiner determines whether the cumulative sum is larger than a predetermined threshold, and determines that driving of a driver of the target vehicle is unusual upon determining that the cumulative sum is larger than the predetermined threshold.

    Driving-state data storage apparatus

    公开(公告)号:US10522032B2

    公开(公告)日:2019-12-31

    申请号:US15589812

    申请日:2017-05-08

    Abstract: In a driving-state data storage apparatus, a collector collects, from each of vehicles on a target travelling road, a value of data indicative of a driving state of the corresponding vehicle to correspondingly obtain driving-state data values for the target road. A data allocator divides, based on similarity among the driving-state data values, the target traveling road into a plurality of traveling segments, and extracts, from the driving-state data values, data values for each of the divided travelling segments. The data values extracted for each of the travelling segments are similar to each other. The data allocator allocates a distribution of the extracted data values for each of the divided travelling segments to the corresponding one of the divided travelling segments as a feature distribution. A storage unit stores the feature distribution allocated for each of the travelling segments.

    Anomaly estimation apparatus and display apparatus

    公开(公告)号:US10415981B2

    公开(公告)日:2019-09-17

    申请号:US15658199

    申请日:2017-07-24

    Abstract: An anomaly estimation apparatus includes a collection section that collects vehicle data, a feature amount calculation section that calculates a feature amount from the vehicle data and stores the feature amount and a place corresponding thereto, an anomaly determination section that determines whether an anomaly occurrence point is present based on the feature amount, an accumulation section that, if the anomaly occurrence point is present, uses the vehicle data at the anomaly occurrence point and an anomaly periphery point to generate estimation data, an information generation section that uses the estimation data to generate causality information representing causality between an anomaly caused at the anomaly occurrence point and an anomaly caused at the anomaly periphery point, and an estimation section that, if the anomaly occurrence point is present, uses the causality information to estimate transition of the anomaly from the anomaly occurrence point to the anomaly periphery point.

    OBJECT RECOGNITION APPARATUS AND NOISE REMOVAL METHOD
    4.
    发明申请
    OBJECT RECOGNITION APPARATUS AND NOISE REMOVAL METHOD 审中-公开
    对象识别装置和噪声去除方法

    公开(公告)号:US20160252617A1

    公开(公告)日:2016-09-01

    申请号:US15055239

    申请日:2016-02-26

    CPC classification number: G01S17/42 G01S7/4802 G01S7/4808 G01S17/936

    Abstract: In an object recognition apparatus, a range point acquirer irradiates each of irradiation areas arranged in a horizontally and vertically extending grid and forming a detection area for detecting a target with laser light and receives the reflected light from the respective irradiation areas, thereby acquiring a plurality of range points representing per-irradiation area coordinates of the target. A noise remover is configured to, based on either or both of degrees of angle proximity and degrees of distance proximity between a plurality of subject range points to be determined whether to be a noise point, of the plurality of range points, as viewed from a reference point, determine whether or not each of the subject range points is a noise point, and remove the noise point from the plurality of range points. An object recognizer uses the plurality of range points other than the noise points to recognize the object.

    Abstract translation: 在物体识别装置中,范围点获取器照射布置在水平和垂直延伸的格栅中的每个照射区域,并且形成用于用激光检测目标的检测区域,并接收来自各个照射区域的反射光,从而获得多个 表示目标的每个照射区域坐标的范围点。 噪声去除器被配置为基于从多个距离点中观察到的多个距离点之间的角度接近程度和待确定的是否为噪声点的多个被摄体范围点之间的距离接近度的一个或两个 参考点,确定每个对象范围点是否是噪声点,并且从多个范围点去除噪声点。 对象识别器使用除了噪声点以外的多个范围点来识别对象。

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